code: def get_filenames(is_training, data_dir):
      """Return filenames for dataset."""
      if is_training:
          return [
              os.path.join(data_dir, "train-%05d-of-01024" % i)
              for i in range(_NUM_TRAIN_FILES)
          ]
      else:
          return [
              os.path.join(data_dir, "validation-%05d-of-00128" % i)
              for i in range(128)
          ]
  
file_path: autodist/examples/benchmark/utils/imagenet_preprocessing.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import logging
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: get_filenames(is_training, data_dir) and returns: unknown, unknown